About The Role We are seeking a talented Data Platform Engineer to design, build, and manage our data infrastructure in cloud environments. You will be responsible for developing highly scalable, reliable, and efficient data processing systems that power strategic business decisions across our product suite. Key Responsibilities Data Engineering : Build and maintain robust, scalable data pipelines to ingest, process, and transform large volumes of data (100s of terabytes daily, petabyte-scale data warehouses). Optimize data pipelines for performance and cost-efficiency. Ensure data quality and integrity through rigorous validation and monitoring processes. Platform Development Design and implement distributed data processing systems using Apache Spark, Kafka, and other big data technologies. Develop data models and schemas to support complex analytical queries. Collaborate with data scientists and analysts to understand their needs and provide efficient data solutions. Infrastructure Management Manage and optimize cloud-based data infrastructure (AWS, GCP, etc.). Implement monitoring and alerting systems to proactively identify and resolve issues. Ensure high availability and disaster recovery for critical data systems. Required Skills And Experience Strong proficiency in Python and PySpark. Deep understanding of Apache Spark, including RDDs, DataFrames, and performance optimization techniques. Experience with big data technologies such as Hadoop, HDFS, YARN, MapReduce, Hive, Kafka, and Airflow. Familiarity with NoSQL databases and distributed database systems. Experience with cloud platforms (AWS, GCP) and cloud-native services. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. 5+ years of experience in data engineering or software engineering roles. Preferred Skills Experience with machine learning and data science pipelines. Knowledge of data visualization tools (e.g., Tableau, PowerBI). Experience with data governance and security best practices. If you are passionate about data, enjoy working with cutting-edge technologies, and thrive in a fast-paced environment, we encourage you to apply. (ref:hirist.tech),
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Big Data Engineer - Python/Spark Job in
Contact Details:
Company: PeopleX Ventures Location(s): Other Karnataka